
11 - 50 employees
🛒 Retail
🤖 Artificial Intelligence
☁️ SaaS
💰 Convertible Note on 2022-07
Retail • Artificial Intelligence • SaaS
Simbe Robotics is a retail technology company that provides multimodal shelf intelligence solutions to improve in-store operations for retailers. Their platform, featuring the autonomous robot Tally, uses computer vision and AI to track product location, stock levels, and pricing, providing real-time data and insights. Simbe aims to digitize stores for complete visibility, enhancing efficiency by reducing out-of-stocks and improving pricing accuracy. Their solutions are designed to help retailers manage inventory effectively, increase sales, and enhance the shopping experience, all while operating at a global scale. Recognized as a technology leader, Simbe Robotics empowers store teams with actionable data and significant ROI.
🕒 August 19
🇺🇸 United States – Remote
💵 $6k - $7k / month
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
📞 Support Engineer
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11 - 50 employees
🛒 Retail
🤖 Artificial Intelligence
☁️ SaaS
💰 Convertible Note on 2022-07
Retail • Artificial Intelligence • SaaS
Simbe Robotics is a retail technology company that provides multimodal shelf intelligence solutions to improve in-store operations for retailers. Their platform, featuring the autonomous robot Tally, uses computer vision and AI to track product location, stock levels, and pricing, providing real-time data and insights. Simbe aims to digitize stores for complete visibility, enhancing efficiency by reducing out-of-stocks and improving pricing accuracy. Their solutions are designed to help retailers manage inventory effectively, increase sales, and enhance the shopping experience, all while operating at a global scale. Recognized as a technology leader, Simbe Robotics empowers store teams with actionable data and significant ROI.
• Investigate and resolve incoming customer issues using internal diagnostics, system data, logs, and support tooling • Analyze issues related to robot operation, scan quality, data accuracy, computer vision pipeline outputs, and system performance • Reproduce and rigorously analyze reported issues; gather relevant data and diagnostic context • Collaborate with Engineering and Operations to resolve issues requiring cross-functional input • Provide thorough documentation when escalating issues • Build scripts, automations, or lightweight tools to accelerate investigation workflows and reduce manual effort • Use AI tools and agents as core parts of investigation and analysis workflows • Identify recurring issues and systemic failure patterns across the customer base • Surface systemic issues to Engineering and Product with clear data and context • Contribute to improved documentation, detection, escalation procedures, runbooks, and support operations • Collaborate with Engineering, Product, and Operations in a remote-first environment • Help internal teams understand customer-facing issue patterns
• Bachelor's degree or equivalent practical experience • Demonstrated technical troubleshooting ability for hardware, software, or systems • Ability to analyze telemetry data, logs, and operational metrics to diagnose root causes • Experience using scripting (Python, SQL, bash, or similar) or automation tools to reduce manual work • Demonstrated ability to use AI tools and agents to accelerate investigation and analysis workflows • Strong analytical thinking and methodical approach to problem-solving • Excellent written communication and ability to document clearly and communicate technical findings to non-technical stakeholders • Comfortable learning new systems and tooling quickly • Experience in technical support, customer support, or technical operations • Familiarity with Jira Service Management or similar ticketing systems • Exposure to robotics, autonomous systems, IoT, or computer vision • Experience building internal tooling or workflow automation for support or operations functions • Interest in and comfort with AI-assisted tooling as a core part of day-to-day work
• Potential to convert to full-time based on performance and business need • Remote-first work environment • Use of automation and AI tooling to multiply impact
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